Senior AI Engineer ID80138
Tasks
- Analyze Discovery ecosystem health including metrics and telemetry
- Classify and correlate failures
- Convert runbooks into reusable agentic workflows
- Design AI agents to analyze ServiceNow Discovery logs at scale
- Develop agentic observability for MID Servers and Discovery schedules
- Implement testing guardrails and human approval for production changes
- Integrate LLM APIs using RAG with vector databases
- Perform root cause analysis
- Recommend or generate corrective actions
Perks/Benefits
- Annual learning budget
- Collaborative culture
- Flexible hours
- Internal tech talks
- Mentorship
- People focused support
- Remote work
- Well-being programs
Skills/Tech-stack
Anthropic | Automated testing | CI/CD | CMDB | CMDB CSDM | Code Quality | Configuration Items | DNS | Firewalls | Git | GitHub | Grafana | HTTP | High Volume | High Volume Logging | Jenkins | Linux | Metrics | Mid Servers | Observability | OpenAI | OpenTelemetry | Prometheus | Python | REST API | Retrieval-Augmented Generation | Routing | SNMP | SNMP HTTP | SSH | Security Scanning | ServiceNow Discovery | TCP/IP | Telemetry | Vector Databases | WMI | WinRM | Windows server
Education
N/A
Roles
AI Engineer | Agentic AI Engineer | Engineer | Senior AI Engineer
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